Summary of position:Do you want to be a pioneer in a dynamic field of applied analytics? Forward-thinking HR organizations are tapping into the vast stores of data they have at their disposal to measure, assess, and improve the management of their organization’s greatest asset – their people. Envision yourself at the groundbreaking of this new discipline, and joining us at the intersection of statistics, data science, marketing research, economics, psychology, and biology. Our group is where you get to learn from authorities in the field, work with a highly accomplished interdisciplinary team of colleagues, and use your Science, Technology, Engineering & Math (STEM) degree in an unexpected way to help PepsiCo build a work environment where talent thrives. At PepsiCo, we create the unexpected.
What you will do:The Analyst, Data Science role is part of the forward-thinking Workforce Planning & Advanced Analytics Center-of-Excellence at PepsiCo's Headquarters in Purchase, NY. Our team collaborates with all levels of the organization from our executives to people in our worldwide network of professional, sales, manufacturing, and distribution facilities. You will be responsible for working closely with our team to design and deploy ground-breaking research of complex HR and business challenges throughout the company.
Responsibilities of this role include:
- Using your analytical skills to design research studies of employee behaviors and outcomes
- Developing new and continuously striving to improve predictive models and algorithms for business problems
- Helping partners understand key insights and developing action plans to address them through effective communication
- Inventing experiments, in partnership with a team, to understand human behavior and value different ways to influence it at work
- Building and using large-scale and high velocity datasets
- Performing descriptive and inferential analyses of applicant flow, promotion/retention, workforce development, and web behavior
What you will need to be successful:Education and Work Experience:
- A Bachelor’s degree (advanced degree preferred) in an applied quantitative or social science discipline, such as Data Science, Computer Science, Statistics, Chemistry, Physics, Biology, Marketing, Engineering, Psychology, Economics, Mathematics, or Demography
- 1+ year of empirical research experience, such as building multi-variate statistical models for business use, through approaches like linear and logistic regression or machine learning
- Knowledge of AI and machine/deep learning techniques as applied to prediction modeling, A/B testing, text analytics, sentiment analysis, and/or path analysis
- Experience managing data acquisition and organization, as required to build prediction algorithms and user interfaces
- Proficiency in at least one coding or statistical software package (e.g., R, Python, Java, C++, SPSS, SAS, Stata, MATLAB, SQL, etc.)
- Experience with one of Tableau, Power BI, QlikView, R-Shiny, or Dash, as well as, Microsoft Excel, Access and PowerPoint
- No prior HR or HR-system experience required
Proficiencies / Behaviors:
- Strong analytical skills, including the ability to effectively balance complex data sets and data integrity issues
- Agile, adaptable, and open to new ideas
- Clearly, concisely and persuasively communicate complex and ground-breaking ideas to technical and non-technical audiences
- Team-based working style
- Intellectual curiosity and consistently keeping up with advances in analytics tools and approaches
- Willing to experiment with different approaches and capable of applying new insights in creative ways to answer business and talent questions
Job Type: Regular
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity
Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy
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